Michael Schmidt retweeted
Thatโs a wrap on an amazing week at the @Gartner_inc Data & Analytics Summit! ๐ค
We had so much fun meeting with analysts, customers, and broader #AI community.
One of the highlights was our value-packed session featuring our CEO @Saha_Deban and CTO Michael Schmidt as well as AI leaders from our customers, Santiago Hernandez from Mercury Financial and David Coffey from CAA North & East Ontario, sharing how weโre working together to close the AI confidence gap and deliver real-world results for their organizations.
#GartnerDA
Michael Schmidt retweeted
Excited about the amazing field of Symbolic Regression (data -> equation) with the release of our ฮฆ-SO approach ? Check out these resources for more on SR:
(By the way, if you're in astronomy can you guess the equation being recovered by ฮฆ-SO here ? ๐)
Michael Schmidt retweeted
Following on work by @DoctorJosh @eureqa @tegmark @eigensteve on discovering laws from data, AI is learning do the critical precursor step: Discover the variables from which to build the laws in the first place creativemachineslab.com/hiddโฆ
Michael Schmidt retweeted
These solutions bring together nearly a decade of innovation at DataRobot to help solve critical problems like predicting supply chain disruptions and volatility, forecasting consumer demand, preventing fraud, and transforming patient care to help save lives-all faster than ever.
Michael Schmidt retweeted
Replying to @DataRobot
@DataRobot AI Cloud is here, 10 years and 1.5 million engineering hours in the making. Join us today to learn more about the next generation of AI: draicloudlaunchevent.com
Michael Schmidt retweeted
We are excited to announce our 2nd major release of the year! ๐
@DataRobot 7.1 is packed with new features and enhancements across the board to take your #AI projects to the next level.
Explore DataRobot 7.1: bit.ly/3vrqWLU
#AugmentedIntelligence #datascience
Michael Schmidt retweeted
My most recent @GoogleAI residency project is out:
"Hamiltonian Neural Networks"
Blog: greydanus.github.io/2019/05/โฆ
Paper: arxiv.org/abs/1906.01563
Starting from noisy (pixel) data, we can learn _exact_ conservation of energy-like quantities.
Michael Schmidt retweeted
Michael Schmidt @DataRobot discussing automation using hybrid ML models #mlse2018: Effective for physical systems.
Michael Schmidt retweeted
"Incorporating prior knowledge and constraints are important" - Michael Schmidt #mlse2018 โ at Pittsburgh, PA
Michael Schmidt retweeted
Great talk by @eureqa about feature engineering for time series at @ODSC_Ukraine.
Michael Schmidt retweeted
Replying to @pprett
@pprett gave a great talk on Data Shift @ #ODSCUkraine Check out the sides here github.com/pprett/dataset-shโฆ #ODSC #Datascidence #ODSCKyiv
Michael Schmidt retweeted
.@nutonian CEO Michael Schmidt & MIT Innovator: "Great analysis requires accuracy & intepretability." #InnovatorsChat #IBMEdge #ibmsystems
Michael Schmidt retweeted
Great analysis = accuracy + interpretability. Michael Schmidt, CTO @nutonian #AI #BigData #innovation #IBMEdge #InnovatorsChat
Michael Schmidt retweeted
CTO of the year Finalists are Andy Smith, @Greghinkle @Joekinsella, Michael Schmidt, @Ronzalkind Congratulations! #MTLCAwards
Michael Schmidt retweeted
Good luck to @eureqa as he runs the #BostonMarathon today. We will be cheering for you at @TUGGorg Startup Mile. #TechRunsBoston
Michael Schmidt retweeted
We're ready for the TUGG #BostonMarathon runners @brentgrinna @mbellows @fredshilmover & @eureqa #techrunsboston!
































